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Reading Time: 6 minutes Today, it has become widely accepted that large language models (LLMs), on their own, are insufficient to enable intelligent AI agents that can deliver real value within an enterprise context. Rather, it is only by integrating and augmenting LLMs with…
Reading Time: 9 minutes The field of artificial intelligence (AI) is more exciting than ever. The climate is full of creativity and innovation, and we’re learning that large language models (LLMs) have capabilities we can exploit in many ways. In previous posts, I spoke…
Reading Time: 5 minutes GenAI is driving all kinds of innovations and new ways of working, and we have discovered that large language models (LLMs) are capable of some pretty amazing feats. In my last post I discussed how they can enable users to…
Reading Time: 5 minutes Generative AI has opened up new possibilities for organizations that want to be creative and fearless with their data. In my first post in this series, I introduced ways that data fabric and retrieval augmented generation (RAG) can support large…
Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct…
Reading Time: 3 minutes The market for data lakes has recently seen an impressive wave of new-generation engines that provide highly efficient processing of very large data volumes stored in distributed file systems, like S3, ADLS and others. With low cost of storage in…
Reading Time: 7 minutes In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data…
Reading Time: 2 minutes Credit Agricole is one of the world’s largest cooperative financial institutions, with operations in more than 50 countries and providing a diverse set of financial services including retail banking, cooperative banking, investment banking, private banking, wealth management, and asset management….
Reading Time: 3 minutes If you are in the data management world, you probably help your company to redefine its data analytics architecture, especially in the context of cloud adoption. At some point in the process, someone might have stared at the myriad boxes…
Reading Time: 3 minutes The star of SnowflakeDB keeps rising. This cloud-based, analytical SQL database server offers a set of powerful features, not in the least of which is high performance, end-to-end encryption, cloud platform independency, a self-driving engine, automatic scalability (up or down),…
